Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode

2018 ◽  
pp. 201-209 ◽  
Author(s):  
Patricia Suárez ◽  
Akemi Gálvez ◽  
Iztok Fister ◽  
Iztok Fister ◽  
Eneko Osaba ◽  
...  
Keyword(s):  
Swarm Robotics ◽  
Bat Algorithm ◽  
Cooperative Search

scholarly journals Swarm Robotics Target Searching Strategy Based on Extended Bat Algorithm

2020 ◽  
Vol 2 (2) ◽  
pp. 71
Author(s):  
Nur Aisyah Syafinaz ◽  
Dwi Pebrianti ◽  
Luhur Bayuaji ◽  
Rosyati Hamid ◽  
Nurnajmin Qasrina Ann
Keyword(s):  
Swarm Robotics ◽  
Mathematical Problem ◽  
Target Position ◽  
Bat Algorithm ◽  
Communication Strategy ◽  
Searching Strategy ◽  
Swarm Robots ◽  
Target Searching ◽  
Number Of Iterations ◽  
Better Than

A swarm robotics system can consists of at least two or up to hundreds or thousands number of robots. To build a system that is able to perform target searching task, it needs a robust algoritm and communication strategy. A wrong strategy can lead to unsatisfactory performance in which the swarm robots would unable to move efficiently and arrive at the target position precisely. This work aims to develop a new method for target searching strategy for swarm robotics system by adapting Extended Bat Algorithm (EBA) to the system. EBA is the low level hybrid algorithm of Bat Algorithm (BA) and Spiral Dynamic Algoruthm (SDA), and therefore its exploration and exploitation method is better than BA and SDA. EBA had proven its ability to solve general mathematical problem, however, for swarm robotics system application, its performance and effectiveness still needs to be comprehensively investigated. The investigation result shows that EBA can prove its potentiality to develop the best target searching strategy to the swarm robotics system with 5 number of iterations within 49 seconds. This is found to be the lowest number of iterations in the shortest of time. The accuracy is 99% to arrive at the desired location. Hence, the proposed EBA method is able to perform a target searching task for swarm robotics system.

A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm

2017 ◽  
Vol 16 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Siyuan Lu ◽  
Xin Qiu ◽  
Jianping Shi ◽  
Na Li ◽  
Zhi-Hai Lu ◽  
...  
Keyword(s):  
Extreme Learning Machine ◽  
Detection System ◽  
Bat Algorithm ◽  
Pathological Brain Detection ◽  
Learning Machine

Test Case Prioritization Using Bat Algorithm

2019 ◽  
Vol 12 ◽  
Author(s):  
Anu Bajaj ◽  
Om Prakash Sangwan
Keyword(s):  
Bat Algorithm ◽  
Test Case ◽  
Test Case Prioritization
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